IoT based on secure personal healthcare using RFID technology and steganography

Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a sp...

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Vydáno v:International journal of electrical and computer engineering (Malacca, Malacca) Ročník 11; číslo 4; s. 3300
Hlavní autoři: Khan, Haider Ali, Abdulla, Raed, Selvaperumal, Sathish Kumar, Bathich, Ammar
Médium: Journal Article
Jazyk:angličtina
Vydáno: Yogyakarta IAES Institute of Advanced Engineering and Science 01.08.2021
Témata:
Data acquisition
Data collection
Health care
Health services
Internet of Things
Radio frequency
Radio frequency identification
Real time
Remote control
Sensors
Steganography
Technology utilization
ISSN:2088-8708, 2722-2578, 2088-8708
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Shrnutí:Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.
Bibliografie:ObjectType-Article-1
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ISSN:2088-8708
2722-2578
2088-8708
DOI:10.11591/ijece.v11i4.pp3300-3309